Cluster Analysis of Named Entities. - Zornitsa Kozareva; Joaquim Ferreira da Silva; Pablo Gamallo 001; Gabriel Pereira Lopes (Intelligent Information Systems, 2004)

Cluster Analysis and Classification of Named Entities. - Joaquim Ferreira da Silva; Zornitsa Kozareva; José Gabriel Pereira Lopes (LREC, 2004)

Extracting Named Entities. A Statistical Approach. - Joaquim F. Silva; Zornitsa Kozareva; Veska Noncheva; Gabriel Pereira Lopes (TALN (Posters), 2004)

The University of Alicante at GeoCLEF 2005. - Óscar Ferrández; Zornitsa Kozareva; Antonio Toral; Elisa Noguera; Andrés Montoyo; Rafael Muñoz 001; Fernando Llopis (CLEF (Working Notes), 2005)

Self-training and Co-training Applied to Spanish Named Entity Recognition. - Zornitsa Kozareva; Boyan Bonev 001; Andrés Montoyo (MICAI, 2005)

Combining Data-Driven Systems for Improving Named Entity Recognition. - Zornitsa Kozareva; Óscar Ferrández; Andrés Montoyo; Rafael Muñoz 001; Armando Suárez (NLDB, 2005)

NERUA: sistema de detección y clasificación de entidades utilizando aprendizaje automático. - Óscar Ferrández; Zornitsa Kozareva; Andrés Montoyo; Rafael Muñoz 001 (Proces. del Leng. Natural, 2005)

An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features. - Ted Pedersen; Anagha Kulkarni 001; Roxana Angheluta; Zornitsa Kozareva; Thamar Solorio (CICLing, 2006)

University of Alicante at QA@CLEF2006: Answer Validation Exercise. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (CLEF, 2006)

Adaptation of a Machine-learning Textual Entailment System to a Multilingual Answer Validation Exercise. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (CLEF (Working Notes), 2006)

GIR with Geographic Query Expansion. - Antonio Toral; Óscar Ferrández; Elisa Noguera; Zornitsa Kozareva; Andrés Montoyo; Rafael Muñoz 001 (CLEF, 2006)

Geographic IR Helped by Structured Geospatial Knowledge Resources. - Antonio Toral; Óscar Ferrández; Elisa Noguera; Zornitsa Kozareva; Andrés Montoyo; Rafael Muñoz 001 (CLEF (Working Notes), 2006)

R2D2 at GeoCLEF 2006: A Combined Approach. - Manuel García Vega; Miguel Angel García Cumbreras; Luis Alfonso Ureña López; José M. Perea-Ortega; Francisco Javier Ariza-López; Óscar Ferrández; Antonio Toral; Zornitsa Kozareva; Elisa Noguera; Andrés Montoyo; Rafael Muñoz 001; Davide Buscaldi; et al. (CLEF, 2006)

R2D2 at GeoCLEF 2006: a Mixed Approach. - Manuel García Vega; Miguel Ángel García Cumbreras; Luis Alfonso Ureña López; José M. Perea-Ortega; Francisco Javier Ariza-López; Óscar Ferrández; Antonio Toral; Zornitsa Kozareva; Elisa Noguera; Andrés Montoyo; Rafael Muñoz 001; Davide Buscaldi; et al. (CLEF (Working Notes), 2006)

Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists. - Zornitsa Kozareva (EACL, 2006)

Paraphrase Identification on the Basis of Supervised Machine Learning Techniques. - Zornitsa Kozareva; Andrés Montoyo (FinTAL, 2006)

An Approach for Textual Entailment Recognition Based on Stacking and Voting. - Zornitsa Kozareva; Andrés Montoyo (MICAI, 2006)

Textual Entailment Beyond Semantic Similarity Information. - Sonia Vázquez; Zornitsa Kozareva; Andrés Montoyo (MICAI, 2006)

The Role and Resolution of Textual Entailment in Natural Language Processing Applications. - Zornitsa Kozareva; Andrés Montoyo (NLDB, 2006)

The Effect of Semantic Knowledge Expansion to Textual Entailment Recognition. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (TSD, 2006)

Contribución de la información semántica en un sistema de aprendizaje automático para resolver la implicación textual. - Sonia Vázquez; Zornitsa Kozareva; Andrés Montoyo (Proces. del Leng. Natural, 2006)

The Usefulness of Conceptual Representation for the Identification of Semantic Variability Expressions. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (CICLing, 2007)

Word Sense Disambiguation Using Extended Relevant Domains Resource. - Sonia Vázquez; Andrés Montoyo; Zornitsa Kozareva (IC-AI, 2007)

How Context and Semantic Information Can Help a Machine Learning System? - Sonia Vázquez; Zornitsa Kozareva; Andrés Montoyo (MICAI, 2007)

UA-ZBSA: A Headline Emotion Classification through Web Information. - Zornitsa Kozareva; Borja Navarro; Sonia Vázquez; Andrés Montoyo (SemEval@ACL, 2007)

UA-ZSA: Web Page Clustering on the basis of Name Disambiguation. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (SemEval@ACL, 2007)

Multilingual Name Disambiguation with Semantic Information. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (TSD, 2007)

Combining data-driven systems for improving Named Entity Recognition. - Zornitsa Kozareva; Óscar Ferrández; Andrés Montoyo; Rafael Muñoz 001; Armando Suárez; Jaime Gómez (Data Knowl. Eng., 2007)

The Influence of Context during the Categorization and Discrimination of Spanish and Portuguese Person Names. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (Proces. del Leng. Natural, 2007)

Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs. - Zornitsa Kozareva; Ellen Riloff; Eduard H. Hovy (ACL, 2008)

Domain Information for Fine-Grained Person Name Categorization. - Zornitsa Kozareva; Sonia Vázquez; Andrés Montoyo (CICLing, 2008)

Web People Search with Domain Ranking. - Zornitsa Kozareva; Rumen Moraliyski; Gaël Dias (TSD, 2008)

Learning and Evaluating the Content and Structure of a Term Taxonomy. - Zornitsa Kozareva; Eduard H. Hovy; Ellen Riloff (AAAI Spring Symposium: Learning by Reading and Learning to Read, 2009)

Determining the Polarity and Source of Opinions Expressed in Political Debates. - Alexandra Balahur; Zornitsa Kozareva; Andrés Montoyo (CICLing, 2009)

Toward Completeness in Concept Extraction and Classification. - Eduard H. Hovy; Zornitsa Kozareva; Ellen Riloff (EMNLP, 2009)

Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns. - Zornitsa Kozareva; Eduard H. Hovy (ACL, 2010)

A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web. - Zornitsa Kozareva; Eduard H. Hovy (EMNLP, 2010)

Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds. - Zornitsa Kozareva; Eduard H. Hovy (HLT-NAACL, 2010)

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals. - Iris Hendrickx; Su Nam Kim; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Sebastian Padó; Marco Pennacchiotti; Lorenza Romano; Stan Szpakowicz (SemEval@ACL, 2010)

Insights from Network Structure for Text Mining. - Zornitsa Kozareva; Eduard H. Hovy (ACL, 2011)

Unsupervised Name Ambiguity Resolution Using A Generative Model. - Zornitsa Kozareva; Sujith Ravi (ULNLP@EMNLP, 2011)

Class Label Enhancement via Related Instances. - Zornitsa Kozareva; Konstantin Voevodski; Shang-Hua Teng (EMNLP, 2011)

Combining Relational and Attributional Similarity for Semantic Relation Classification. - Preslav Nakov; Zornitsa Kozareva (RANLP, 2011)

Learning Temporal Information for States and Events. - Zornitsa Kozareva; Eduard H. Hovy (ICSC, 2011)

Learning Verbs on the Fly. - Zornitsa Kozareva (COLING (Posters), 2012)

SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning. - Andrew S. Gordon; Zornitsa Kozareva; Melissa Roemmele (SemEval@NAACL-HLT, 2012)

Cause-Effect Relation Learning. - Zornitsa Kozareva (TextGraphs@ACL, 2012)

Multilingual Affect Polarity and Valence Prediction in Metaphor-Rich Texts. - Zornitsa Kozareva (ACL (1), 2013)

Sentiment Prediction Using Collaborative Filtering. - Jihie Kim; Jae-Bong Yoo; Ho Lim; Huida Qiu; Zornitsa Kozareva; Aram Galstyan (ICWSM, 2013)

SemEval-2013 Task 4: Free Paraphrases of Noun Compounds. - Iris Hendrickx; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Stan Szpakowicz; Tony Veale (SemEval@NAACL-HLT, 2013)

SemEval-2013 Task 2: Sentiment Analysis in Twitter. - Preslav Nakov; Sara Rosenthal; Zornitsa Kozareva; Veselin Stoyanov; Alan Ritter; Theresa Wilson (SemEval@NAACL-HLT, 2013)

The Role of Social Media in the Discussion of Controversial Topics. - Laura M. Smith; Linhong Zhu; Kristina Lerman; Zornitsa Kozareva (SocialCom, 2013)

Tailoring the automated construction of large-scale taxonomies using the web. - Zornitsa Kozareva; Eduard H. Hovy (Lang. Resour. Evaluation, 2013)

Simple, Fast and Accurate Taxonomy Learning. - Zornitsa Kozareva (Text Mining, 2014)

Everyone Likes Shopping! Multi-class Product Categorization for e-Commerce. - Zornitsa Kozareva (HLT-NAACL, 2015)

Multilingual Affect Polarity and Valence Prediction in Metaphors. - Zornitsa Kozareva (WASSA@EMNLP, 2015)

Word from the editors. - Zornitsa Kozareva; Vivi Nastase; Rada Mihalcea (Nat. Lang. Eng., 2015)

Recognizing Salient Entities in Shopping Queries. - Zornitsa Kozareva; Qi Li; Ke Zhai 001; Weiwei Guo (ACL (2), 2016)

Which Tumblr Post Should I Read Next? - Zornitsa Kozareva; Makoto Yamada (ACL (2), 2016)

Query to Knowledge: Unsupervised Entity Extraction from Shopping Queries using Adaptor Grammars. - Ke Zhai 001; Zornitsa Kozareva; Yuening Hu; Qi Li; Weiwei Guo (SIGIR, 2016)

Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. - Preslav Nakov; Sara Rosenthal; Svetlana Kiritchenko; Saif M. Mohammad; Zornitsa Kozareva; Alan Ritter; Veselin Stoyanov; Xiaodan Zhu 001 (Lang. Resour. Evaluation, 2016)

Neural Skill Transfer from Supervised Language Tasks to Reading Comprehension. - Todor Mihaylov; Zornitsa Kozareva; Anette Frank (CoRR, 2017)

Variational Reasoning for Question Answering With Knowledge Graph. - Yuyu Zhang; Hanjun Dai; Zornitsa Kozareva; Alexander J. Smola; Le Song (AAAI, 2018)

Self-Governing Neural Networks for On-Device Short Text Classification. - Sujith Ravi; Zornitsa Kozareva (EMNLP, 2018)

Learning Steady-States of Iterative Algorithms over Graphs. - Hanjun Dai; Zornitsa Kozareva; Bo Dai 001; Alexander J. Smola; Le Song (ICML, 2018)

On-device Structured and Context Partitioned Projection Networks. - Sujith Ravi; Zornitsa Kozareva (ACL (1), 2019)

ProSeqo: Projection Sequence Networks for On-Device Text Classification. - Zornitsa Kozareva; Sujith Ravi (EMNLP/IJCNLP (1), 2019)

PRADO: Projection Attention Networks for Document Classification On-Device. - Prabhu Kaliamoorthi; Sujith Ravi; Zornitsa Kozareva (EMNLP/IJCNLP (1), 2019)

Transferable Neural Projection Representations. - Chinnadhurai Sankar; Sujith Ravi; Zornitsa Kozareva (NAACL-HLT (1), 2019)

Natural Language Grounded Multitask Navigation. - Xin Wang 061; Vihan Jain; Eugene Ie; William Yang Wang; Zornitsa Kozareva; Sujith Ravi (ViGIL@NeurIPS, 2019)

On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study. - Chinnadhurai Sankar; Sujith Ravi; Zornitsa Kozareva (CoRR, 2019)

Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation. - Xin Eric Wang; Vihan Jain; Eugene Ie; William Yang Wang; Zornitsa Kozareva; Sujith Ravi (ECCV (24), 2020)

ProFormer: Towards On-Device LSH Projection Based Transformers. - Chinnadhurai Sankar; Sujith Ravi; Zornitsa Kozareva (EACL, 2021)

On-Device Text Representations Robust To Misspellings via Projections. - Chinnadhurai Sankar; Sujith Ravi; Zornitsa Kozareva (EACL, 2021)

SoDA: On-device Conversational Slot Extraction. - Sujith Ravi; Zornitsa Kozareva (SIGDIAL, 2021)

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. - Peter Hase; Mona T. Diab; Asli Celikyilmaz; Xian Li 003; Zornitsa Kozareva; Veselin Stoyanov; Mohit Bansal; Srinivasan Iyer 001 (CoRR, 2021)

Few-shot Learning with Multilingual Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (CoRR, 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giri Anantharaman; Xian Li 003; et al. (CoRR, 2021)

Fixed Support Tree-Sliced Wasserstein Barycenter. - Yuki Takezawa; Ryoma Sato; Zornitsa Kozareva; Sujith Ravi; Makoto Yamada (AISTATS, 2022)

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. - Badr AlKhamissi; Faisal Ladhak; Srini Iyer 001; Veselin Stoyanov; Zornitsa Kozareva; Xian Li 003; Pascale Fung; Lambert Mathias; Asli Celikyilmaz; Mona T. Diab (EMNLP, 2022)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giridharan Anantharaman; Xian Li 003; et al. (EMNLP, 2022)

Few-shot Learning with Multilingual Generative Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (EMNLP, 2022)

Improving In-Context Few-Shot Learning via Self-Supervised Training. - Mingda Chen; Jingfei Du; Ramakanth Pasunuru; Todor Mihaylov; Srini Iyer 001; Veselin Stoyanov; Zornitsa Kozareva (NAACL-HLT, 2022)

Approximating 1-Wasserstein Distance with Trees. - Makoto Yamada; Yuki Takezawa; Ryoma Sato; Han Bao 002; Zornitsa Kozareva; Sujith Ravi (Trans. Mach. Learn. Res., 2022)

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. - Peter Hase; Mona T. Diab; Asli Celikyilmaz; Xian Li 003; Zornitsa Kozareva; Veselin Stoyanov; Mohit Bansal; Srinivasan Iyer 001 (EACL, 2023)