*SEM 2012: The First Joint Conference on Lexical and Computational Semantics |
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SemEval Program | |
Day 1: Thursday June 7th 2012 (SemEval View) | |
; | (08:00–09:15) Registration |
; | Session PLN1: (09:15–10:30) Opening Remarks and Keynote Address (Plenary) |
09:15–09:30 | *SEM Opening |
09:30–10:30 | Keynote Address by Jerry Hobbs |
; | (10:30–11:00) Coffee Break |
; | Session SE1: (11:00–12:40) SemEval Session 1 Chair: Chris Biemann |
11:00–11:10 | Welcome to SemEval-2012 |
11:10 | SemEval-2012 Task 1: English Lexical Simplification Lucia Specia, Sujay Kumar Jauhar and Rada Mihalcea |
11:25 | SemEval-2012 Task 2: Measuring Degrees of Relational Similarity David Jurgens, Saif Mohammad, Peter Turney and Keith Holyoak |
11:40 | SemEval-2012 Task 3: Spatial Role Labeling parisa kordjamshidi, steven bethard and Marie-Francine Moens |
11:55 | SemEval-2012 Task 4: Evaluating Chinese Word Similarity Peng Jin and Yunfang Wu |
12:10 | SemEval-2012 Task 5: Chinese Semantic Dependency Parsing Wanxiang Che, Meishan Zhang, Yanqiu Shao and Ting Liu |
12:25 | SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity Eneko Agirre, Daniel Cer, Mona Diab and Aitor Gonzalez-Agirre |
; | (12:40–2:00) Lunch |
; | Session SE2: (2:00–3:30) SemEval Session 2 Chair: Saif Mohammad |
2:00 | SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning Andrew Gordon, Zornitsa Kozareva and Melissa Roemmele |
2:15 | Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization Matteo Negri, Alessandro Marchetti, Yashar Mehdad, Luisa Bentivogli and Danilo Giampiccolo |
2:30 | EMNLP@CPH: Is frequency all there is to simplicity? Anders Johannsen, Héctor Martínez, Sigrid Klerke and Anders Søgaard |
2:45 | UTD: Determining Relational Similarity Using Lexical Patterns Bryan Rink and Sanda Harabagiu |
3:00 | UTD-SpRL: A Joint Approach to Spatial Role Labeling Kirk Roberts and Sanda Harabagiu |
3:15 | MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012 Yingjie Zhang, Bin Li, Xinyu Dai and Jiajun Chen |
; | (3:30–4:00) Coffee Break |
; | Session SE3: (4:00–6:00) SemEval Session 3 Chair: David Jurgens |
4:00 | NJU-Parser: Achievements on Semantic Dependency Parsing Guangchao Tang, Bin Li, Shuaishuai Xu, Xinyu Dai and Jiajun Chen |
4:15 | UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures Daniel Bär, Chris Biemann, Iryna Gurevych and Torsten Zesch |
4:30 | TakeLab: Systems for Measuring Semantic Text Similarity Frane Šarić, Goran Glavaš, Mladen Karan, Jan Šnajder and Bojana Dalbelo Bašić |
4:45 | Soft Cardinality: A Parameterized Similarity Function for Text Comparison Sergio Jimenez, Claudia Becerra and Alexander Gelbukh |
5:00 | UNED: Evaluating Text Similarity Measures without Human Assessments Enrique Amigó, Jesus Gimenez, Julio Gonzalo and Felisa Verdejo |
5:15 | UTDHLT: COPACETIC System for Choosing Plausible Alternatives Travis Goodwin, Bryan Rink, Kirk Roberts and Sanda Harabagiu |
5:30 | HDU: Cross-lingual Textual Entailment with SMT Features Katharina Wäschle and Sascha Fendrich |
5:45 | UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment Miquel Esplà-Gomis, Felipe Sánchez-Martínez and Mikel L. Forcada |
Day 2: Friday June 8th 2012 (SemEval View) | |
; | Session PLN2: (08:15–09:15) Best Paper Awards and Shared Task (Plenary) |
08:15–08:20 | Announcement of Best Papers |
08:20–08:30 | Best Short Paper Speech |
08:30–08:45 | Best Long Paper Speech |
08:45–09:10 | Shared Task: Resolving the Scope and Focus of Negation |
; | – No SemEval-specific morning sessions – |
(See *SEM Main Conference View and Shared Task View for details) | |
; | (12:15–2:00) Lunch |
; | Session SE4: (2:00–3:30) SemEval Poster Session 1 |
; | UOW-SHEF: SimpLex – Lexical Simplicity Ranking based on Contextual and Psycholinguistic Features Sujay Kumar Jauhar and Lucia Specia |
; | SB: mmSystem - Using Decompositional Semantics for Lexical Simplification Marilisa Amoia and Massimo Romanelli |
; | ANNLOR: A Naïve Notation-system for Lexical Outputs Ranking Anne-Laure Ligozat, Cyril Grouin, Anne Garcia-Fernandez and Delphine Bernhard |
; | UNT-SimpRank: Systems for Lexical Simplification Ranking Ravi Sinha |
; | Duluth: Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness Ted Pedersen |
; | BUAP: A First Approximation to Relational Similarity Measuring Mireya Tovar, J. Alejandro Reyes, Azucena Montes, Darnes Vilariño, David Pinto and Saul León |
; | Zhou qiaoli: A divide-and-conquer strategy for semantic dependency parsing zhou qiaoli, zhang ling, liu fei, cai dongfeng and zhang guiping |
; | ICT:A System Combination for Chinese Semantic Dependency Parsing Hao Xiong and Qun Liu |
; | Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features Zhijun Wu, Xuan Wang and Xinxin Li |
; | PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity Jian Xu, Qin Lu and Zhengzhong Liu |
; | ETS: Discriminative Edit Models for Paraphrase Scoring Michael Heilman and Nitin Madnani |
; | Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task Samir AbdelRahman and Catherine Blake |
; | LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets Artem Sokolov |
; | ATA-Sem: Chunk-based Determination of Semantic Text Similarity Demetrios Glinos |
; | IRIT: Textual Similarity Combining Conceptual Similarity with an N-Gram Comparison Method Davide Buscaldi, Ronan Tournier, Nathalie Aussenac-Gilles and Josiane Mothe |
; | DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations Diana McCarthy, Spandana Gella and Siva Reddy |
; | DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets NIkos Malandrakis, Elias Iosif and Alexandros Potamianos |
; | JU_CSE_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay and Alexander Gelbukh |
; | Tiantianzhu7:System Description of Semantic Textual Similarity (STS) in the SemEval-2012 (Task 6) Zhu Tiantian and Lan Man |
; | sranjans: Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching Sumit Bhagwani, Shrutiranjan Satapathy and Harish Karnick |
; | Weiwei: A Simple Unsupervised Latent Semantics based Approach for Sentence Similarity Weiwei Guo and Mona Diab |
; | UNIBA: Distributional Semantics for Textual Similarity Annalina Caputo, Pierpaolo Basile and Giovanni Semeraro |
; | UNITOR: Combining Semantic Text Similarity functions through SV Regression Danilo Croce, Paolo Annesi, Valerio Storch and Roberto Basili |
; | Saarland: Vector-based models of semantic textual similarity Georgiana Dinu and Stefan Thater |
; | (3:30–4:00) Coffee Break |
; | Session SE5: (4:00–5:15) SemEval Poster Session 2 |
; | UMCC_DLSI: Multidimensional Lexical-Semantic Textual Similarity Antonio Fernández, Yoan Gutiérrez, Héctor Dávila, Alexander Chávez, Andy González, Rainel Estrada, Yenier Castañeda, Sonia Vázquez, Andrés Montoyo and Rafael Muñoz |
; | SRIUBC: Simple Similarity Features for Semantic Textual Similarity Eric Yeh and Eneko Agirre |
; | FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity José Guilherme Camargo de Souza, Matteo Negri and Yashar Mehdad |
; | FCC: Three Approaches for Semantic Textual Similarity Maya Carrillo, Darnes Vilariño, David Pinto, Mireya Tovar, Saul León and Esteban Castillo |
; | UNT: A Supervised Synergistic Approach to Semantic Text Similarity Carmen Banea, Samer Hassan, Michael Mohler and Rada Mihalcea |
; | DERI & UPM: Pushing Corpus Based Relatedness to Similarity: Shared Task System Description Nitish Aggarwal, Kartik Asooja and Paul Buitelaar |
; | Stanford: Probabilistic Edit Distance Metrics for STS Mengqiu Wang and Daniel Cer |
; | University_Of_Sheffield: Two Approaches to Semantic Text Similarity Sam Biggins, Shaabi Mohammed, Sam Oakley, Luke Stringer, Mark Stevenson and Judita Preiss |
; | janardhan: Semantic Textual Similarity using Universal Networking Language graph matching Janardhan Singh, Arindam Bhattacharya and Pushpak Bhattacharyya |
; | SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment Julio Castillo and Paula Estrella |
; | UOW: Semantically Informed Text Similarity Miguel Rios, Wilker Aziz and Lucia Specia |
; | Penn: Using Word Similarities to better Estimate Sentence Similarity Sneha Jha, Hansen A. Schwartz and Lyle Ungar |
; | Soft Cardinality + ML: Learning Adaptive Similarity Functions for Cross-lingual Textual Entailment Sergio Jimenez, Claudia Becerra and Alexander Gelbukh |
; | JU_CSE_NLP: Language Independent Cross-lingual Textual Entailment System Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay and Alexander Gelbukh |
; | CELI: An Experiment with Cross Language Textual Entailment Milen Kouylekov, Luca Dini, Alessio Bosca and Marco Trevisan |
; | FBK: Cross-Lingual Textual Entailment Without Translation Yashar Mehdad, Matteo Negri and Jose Guilherme C. de Souza |
; | BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment Darnes Vilariño, David Pinto, Mireya Tovar, Saul León and Esteban Castillo |
; | DirRelCond3: Detecting Textual Entailment Across Languages With Conditions On Directional Text Relatedness Scores Alpar Perini |
; | ICT: A Translation based Method for Cross-lingual Textual Entailment Fandong Meng, Hao Xiong and Qun Liu |
; | SAGAN: A Machine Translation Approach for Cross-Lingual Textual Entailment Julio Castillo and Marina Cardenas |
; | Session PLN3: (5:15–6:00) Plenary Panel and Closing -- *SEM and SemEval, the Future |
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