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ORCIDH. Andrew Schwartz
Hansen Andrew Schwartz
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- affiliation: Stony Brook University, Human Language Analysis Beings (HLAB), Stony Brook, NY, USA
- affiliation (PhD): University of Central Florida, Orlando, FL, USA
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2020 – today
- 2024
[j5]Siddharth Mangalik
, Johannes C. Eichstaedt, Salvatore Giorgi, Jihu Mun, Farhan Ahmed, Gilvir Gill, Adithya V. Ganesan, Shashanka Subrahmanya, Nikita Soni, Sean A. P. Clouston, H. Andrew Schwartz:
Robust language-based mental health assessments in time and space through social media. npj Digit. Medicine 7(1) (2024)- [c61]Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. EACL (2) 2024: 454-468 - [c60]Vasudha Varadarajan, Sverker Sikström, Oscar N. E. Kjell, H. Andrew Schwartz:
ALBA: Adaptive Language-Based Assessments for Mental Health. NAACL-HLT 2024: 2466-2478 - [c59]Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian:
Large Human Language Models: A Need and the Challenges. NAACL-HLT 2024: 8631-8646 - [c58]Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy:
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? WASSA 2024: 316-328 - [i26]Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy:
Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both? CoRR abs/2401.12492 (2024) - [i25]Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. CoRR abs/2402.01980 (2024) - 2023
- [j4]Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine 6 (2023) - [j3]Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Author Correction: Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine 6 (2023) - [c57]Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes C. Eichstaedt, Adithya V. Ganesan, H. Andrew Schwartz:
Discourse-Level Representations can Improve Prediction of Degree of Anxiety. ACL (2) 2023: 1500-1511 - [c56]Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish, Xiaoran Liu, Jonah Luby, Christian Luhmann, H. Andrew Schwartz:
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge. ACL (1) 2023: 11923-11936 - [c55]Salvatore Giorgi, David M. Markowitz, Nikita Soni, Vasudha Varadarajan, Siddharth Mangalik, H. Andrew Schwartz:
"I Slept Like a Baby": Using Human Traits To Characterize Deceptive ChatGPT and Human Text. IACT@SIGIR 2023: 23-37 - [c54]Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz:
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. WASSA@ACL 2023: 390-400 - [i24]Siddharth Mangalik, Johannes C. Eichstaedt, Salvatore Giorgi, Jihu Mun, Farhan Ahmed, Gilvir Gill, Adithya V. Ganesan, Shashanka Subrahmanya, Nikita Soni, Sean A. P. Clouston, H. Andrew Schwartz:
Robust language-based mental health assessments in time and space through social media. CoRR abs/2302.12952 (2023) - [i23]Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish, Xiaoran Liu, Jonah Luby, Christian Luhmann, H. Andrew Schwartz:
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge. CoRR abs/2305.02459 (2023) - [i22]Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed, Zuhaib Akhtar, Shalaka Vaidya, Gary Pan, Lyle H. Ungar, H. Andrew Schwartz, João Sedoc:
Human-Centered Metrics for Dialog System Evaluation. CoRR abs/2305.14757 (2023) - [i21]Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz:
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. CoRR abs/2306.01183 (2023) - [i20]Vasudha Varadarajan, Sverker Sikström, Oscar N. E. Kjell, H. Andrew Schwartz:
Adaptive Language-based Mental Health Assessment with Item-Response Theory. CoRR abs/2311.06467 (2023) - [i19]Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian:
Large Human Language Models: A Need and the Challenges. CoRR abs/2312.07751 (2023) - 2022
- [c53]Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Language Modeling. ACL (Findings) 2022: 622-636 - [c52]Salvatore Giorgi, Veronica E. Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz:
Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. ICWSM 2022: 228-240 - [c51]Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz:
Modeling Latent Dimensions of Human Beliefs. ICWSM 2022: 1064-1074 - [c50]Matthew Matero, Albert Hung, H. Andrew Schwartz:
Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment. WASSA@ACL 2022: 89-94 - [i18]Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Language Modeling. CoRR abs/2205.05128 (2022) - 2021
- [j2]Kokil Jaidka, Johannes C. Eichstaedt, Salvatore Giorgi, H. Andrew Schwartz, Lyle H. Ungar:
Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. Telematics Informatics 59: 101540 (2021) - [c49]Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian:
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. ACL/IJCNLP (Findings) 2021: 4147-4157 - [c48]Salvatore Giorgi, Lyle H. Ungar, H. Andrew Schwartz:
Characterizing Social Spambots by their Human Traits. ACL/IJCNLP (Findings) 2021: 5148-5158 - [c47]Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz:
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. EMNLP (Findings) 2021: 2959-2966 - [c46]Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C. Eichstaedt, Claire Pajot, H. Andrew Schwartz, Lyle H. Ungar:
Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. ICWSM 2021: 1069-1074 - [c45]Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz:
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. NAACL-HLT 2021: 4515-4532 - [c44]Mohammadzaman Zamani, H. Andrew Schwartz:
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. WWW 2021: 565-574 - [i17]Youngseo Son, H. Andrew Schwartz:
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media. CoRR abs/2105.01306 (2021) - [i16]Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz:
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. CoRR abs/2105.03484 (2021) - [i15]Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian:
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. CoRR abs/2106.01335 (2021) - [i14]Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz:
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. CoRR abs/2109.08113 (2021) - [i13]Matthew Matero, Albert Hung, H. Andrew Schwartz:
Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction. CoRR abs/2112.13795 (2021) - 2020
- [j1]Kokil Jaidka, Salvatore Giorgi, H. Andrew Schwartz, Margaret L. Kern, Lyle H. Ungar, Johannes C. Eichstaedt:
Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proc. Natl. Acad. Sci. USA 117(19): 10165-10171 (2020) - [c43]Deven Shah, H. Andrew Schwartz, Dirk Hovy:
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. ACL 2020: 5248-5264 - [c42]Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz:
Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention. ACL 2020: 5306-5316 - [c41]Matthew Matero, H. Andrew Schwartz:
Autoregressive Affective Language Forecasting: A Self-Supervised Task. COLING 2020: 2913-2923 - [c40]Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. NLP4COVID@EMNLP 2020 - [c39]Wenzhe Cui, Suwen Zhu, Mingrui Ray Zhang, H. Andrew Schwartz, Jacob O. Wobbrock, Xiaojun Bi:
JustCorrect: Intelligent Post Hoc Text Correction Techniques on Smartphones. UIST 2020: 487-499 - [c38]Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz:
Quantifying Community Characteristics of Maternal Mortality Using Social Media. WWW 2020: 2976-2983 - [i12]Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz:
Quantifying Community Characteristics of Maternal Mortality Using Social Media. CoRR abs/2004.06303 (2020) - [i11]Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. CoRR abs/2011.03983 (2020) - [i10]Youngseo Son, Sean A. P. Clouston, Roman Kotov, Johannes C. Eichstaedt, Evelyn J. Bromet, Benjamin J. Luft, H. Andrew Schwartz:
World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews. CoRR abs/2011.06457 (2020)
2010 – 2019
- 2019
- [c37]Shawndra Hill, Anthony M. Colas, H. Andrew Schwartz, Gordon Burtch:
TV Ad Events and Digital Search: On the Selection of Outcome Measures. IEEE BigData 2019: 3518-3528 - [c36]Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz:
Using Search Queries to Understand Health Information Needs in Africa. ICWSM 2019: 3-14 - [i9]Salvatore Giorgi, Veronica E. Lynn, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz:
Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media. CoRR abs/1911.03855 (2019) - [i8]Deven Shah, H. Andrew Schwartz, Dirk Hovy:
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. CoRR abs/1912.11078 (2019) - 2018
- [c35]Veronica E. Lynn, Alissa Goodman, Kate Niederhoffer, Kate Loveys, Philip Resnik, H. Andrew Schwartz:
CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays. CLPsych@NAACL-HTL 2018: 37-46 - [c34]Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz:
Predicting Human Trustfulness from Facebook Language. CLPsych@NAACL-HTL 2018: 174-181 - [c33]Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar:
Identifying Locus of Control in Social Media Language. EMNLP 2018: 1146-1152 - [c32]Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. EMNLP 2018: 1167-1172 - [c31]Youngseo Son, Nipun Bayas, H. Andrew Schwartz:
Causal Explanation Analysis on Social Media. EMNLP 2018: 3350-3359 - [c30]Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian:
Residualized Factor Adaptation for Community Social Media Prediction Tasks. EMNLP 2018: 3560-3569 - [i7]Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz:
Using Search Queries to Understand Health Information Needs in Africa. CoRR abs/1806.05740 (2018) - [i6]Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz:
Predicting Human Trustfulness from Facebook Language. CoRR abs/1808.05668 (2018) - [i5]Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian:
Residualized Factor Adaptation for Community Social Media Prediction Tasks. CoRR abs/1808.09479 (2018) - [i4]Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. CoRR abs/1808.09600 (2018) - [i3]Youngseo Son, Nipun Bayas, H. Andrew Schwartz:
Causal Explanation Analysis on Social Media. CoRR abs/1809.01202 (2018) - [i2]Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar:
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. CoRR abs/1810.10949 (2018) - 2017
- [c29]Fatemeh Almodaresi, Lyle H. Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi, H. Andrew Schwartz:
On the Distribution of Lexical Features at Multiple Levels of Analysis. ACL (2) 2017: 79-84 - [c28]Youngseo Son, Anneke Buffone, Joe Raso, Allegra Larche, Anthony Janocko, Kevin Zembroski, H. Andrew Schwartz, Lyle H. Ungar:
Recognizing Counterfactual Thinking in Social Media Texts. ACL (2) 2017: 654-658 - [c27]Mohammadzaman Zamani, H. Andrew Schwartz:
Using Twitter Language to Predict the Real Estate Market. EACL (2) 2017: 28-33 - [c26]H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt:
DLATK: Differential Language Analysis ToolKit. EMNLP (System Demonstrations) 2017: 55-60 - [c25]Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Centered NLP with User-Factor Adaptation. EMNLP 2017: 1146-1155 - [c24]H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar:
Assessing Objective Recommendation Quality through Political Forecasting. EMNLP 2017: 2348-2357 - [c23]Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle H. Ungar:
Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. IJCNLP(1) 2017: 764-773 - [i1]Vivek Kulkarni, Margaret L. Kern, David Stillwell, Michal Kosinski, Sandra Matz, Lyle H. Ungar, Steven Skiena, H. Andrew Schwartz:
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. CoRR abs/1705.08038 (2017) - 2016
- [c22]Glen Coppersmith, Kristy Hollingshead, H. Andrew Schwartz, Molly Ireland, Rebecca Resnik, Kate Loveys, April Foreman, Loring Ingraham:
The Clinical Panel: Leveraging Psychological Expertise During NLP Research. NLP+CSS@EMNLP 2016: 132-137 - [c21]Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar:
Does 'well-being' translate on Twitter? EMNLP 2016: 2042-2047 - [c20]Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz:
Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. EMNLP 2016: 2054-2059 - [c19]H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar:
Predicting Individual Well-Being Through the Language of Social Media. PSB 2016: 516-527 - [c18]Daniel Preotiuc-Pietro, H. Andrew Schwartz, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, Lyle H. Ungar, Elisabeth Shulman:
Modelling Valence and Arousal in Facebook posts. WASSA@NAACL-HLT 2016: 9-15 - 2015
- [c17]Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Gregory J. Park, Maarten Sap, Laura Smith, Victoria Tobolsky, H. Andrew Schwartz, Lyle H. Ungar:
The role of personality, age, and gender in tweeting about mental illness. CLPsych@HLT-NAACL 2015: 21-30 - [c16]Daniel Preotiuc-Pietro, Maarten Sap, H. Andrew Schwartz, Lyle H. Ungar:
Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. CLPsych@HLT-NAACL 2015: 40-45 - [c15]H. Andrew Schwartz, Gregory J. Park, Maarten Sap, Evan Weingarten, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Jonah Berger, Martin E. P. Seligman, Lyle H. Ungar:
Extracting Human Temporal Orientation from Facebook Language. HLT-NAACL 2015: 409-419 - 2014
- [c14]H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Gregory J. Park, Maarten Sap, David Stillwell, Michal Kosinski, Lyle H. Ungar:
Towards Assessing Changes in Degree of Depression through Facebook. CLPsych@ACL 2014: 118-125 - [c13]Maarten Sap, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Lyle H. Ungar, H. Andrew Schwartz:
Developing Age and Gender Predictive Lexica over Social Media. EMNLP 2014: 1146-1151 - 2013
- [c12]H. Andrew Schwartz, Johannes C. Eichstaedt, Lukasz Dziurzynski, Margaret L. Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin E. P. Seligman, Lyle H. Ungar:
Toward Personality Insights from Language Exploration in Social Media. AAAI Spring Symposium: Analyzing Microtext 2013 - [c11]H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Richard E. Lucas, Megha Agrawal, Gregory J. Park, Shrinidhi K. Lakshmikanth, Sneha Jha, Martin E. P. Seligman, Lyle H. Ungar:
Characterizing Geographic Variation in Well-Being Using Tweets. ICWSM 2013 - [c10]H. Andrew Schwartz, Johannes C. Eichstaedt, Eduardo Blanco, Lukasz Dziurzynski, Margaret L. Kern, Stephanie Ramones, Martin E. P. Seligman, Lyle H. Ungar:
Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. *SEM@NAACL-HLT 2013: 296-305 - 2012
- [c9]Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster:
New Insights from Coarse Word Sense Disambiguation in the Crowd. COLING (Posters) 2012: 539-548 - [c8]Hansen Andrew Schwartz, Fernando Gomez, Lyle H. Ungar:
Improving Supervised Sense Disambiguation with Web-Scale Selectors. COLING 2012: 2423-2440 - [c7]Sneha Jha, Hansen Andrew Schwartz, Lyle H. Ungar:
Penn: Using Word Similarities to better Estimate Sentence Similarity. SemEval@NAACL-HLT 2012: 679-683 - 2011
- [c6]Hansen Andrew Schwartz, Fernando Gomez:
Evaluating Semantic Metrics on Tasks of Concept Similarity. FLAIRS 2011 - 2010
- [c5]Hansen Andrew Schwartz, Fernando Gomez:
UCF-WS: Domain Word Sense Disambiguation Using Web Selectors. SemEval@ACL 2010: 392-395
2000 – 2009
- 2009
- [c4]Hansen Andrew Schwartz, Fernando Gomez:
Using Web Selectors for the Disambiguation of All Words. SEW@NAACL-HLT 2009: 28-36 - [c3]Jane T. Malin, David Rutherford Throop, Christopher Millward, Fernando Gomez, Carroll Thronesbery, Hansen Andrew Schwartz:
Linguistic Text Mining for Problem Reports. SMC 2009: 1578-1583 - 2008
- [c2]Hansen Andrew Schwartz, Fernando Gomez:
Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation. CoNLL 2008: 105-112 - [c1]Hansen Andrew Schwartz, Fernando Gomez, Christopher Millward:
A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs. FLAIRS 2008: 213-218
Coauthor Index
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