---
title: "SemEval 2014 — all accepted papers, page 2 — Elamur Research"
description: "All 149 papers of SemEval 2014 · page 2 of 2, the most cited first; those with our summary link to it."
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# SemEval 2014: all accepted papers

149 papers · page 2 of 2 · the most cited first · [← SemEval 2014](https://md.research.elamur.ai/free/en/venues/semeval/2014/)

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101. **[ShrdLite: Semantic Parsing Using a Handmade Grammar ↗](https://aclanthology.org/S14-2097/)**Peter Ljunglöf
102. **[SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity ↗](https://aclanthology.org/S14-2098/)**Carmen Banea, Di Chen, Rada Mihalcea et al.
103. **[Supervised Methods for Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/S14-2104/)**Hussam Hamdan, Patrice Bellot, Frederic Béchet
104. **[Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams ↗](https://aclanthology.org/S14-2105/)**Martin Jaggi, Fatih Uzdilli, Mark Cieliebak
105. **[Synalp-Empathic: A Valence Shifting Hybrid System for Sentiment Analysis ↗](https://aclanthology.org/S14-2106/)**Alexandre Denis, Samuel Cruz-Lara, Nadia Bellalem et al.
106. **[TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach ↗](https://aclanthology.org/S14-2109/)**Arun Kumar Jayapal, Martin Emms, John Kelleher
107. **[TJP: Identifying the Polarity of Tweets from Contexts ↗](https://aclanthology.org/S14-2117/)**Tawunrat Chalothorn, Jeremy Ellman
108. **[TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7 ↗](https://aclanthology.org/S14-2118/)**Jitendra Jonnagaddala, Manish Kumar, Hong-Jie Dai et al.
109. **[TUGAS: Exploiting unlabelled data for Twitter sentiment analysis ↗](https://aclanthology.org/S14-2120/)**Silvio Amir, Miguel B. Almeida, Bruno Martins et al.
110. **[Team Z: Wiktionary as a L2 Writing Assistant ↗](https://aclanthology.org/S14-2110/)**Anubhav Gupta
111. **[TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data ↗](https://aclanthology.org/S14-2111/)**Yasuhide Miura, Shigeyuki Sakaki, Keigo Hattori et al.
112. **[TeamZ: Measuring Semantic Textual Similarity for Spanish Using an Overlap-Based Approach ↗](https://aclanthology.org/S14-2112/)**Anubhav Gupta
113. **[The Impact of Z_score on Twitter Sentiment Analysis ↗](https://aclanthology.org/S14-2113/)**Hussam Hamdan, Patrice Bellot, Frederic Béchet
114. **[The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity](https://md.research.elamur.ai/free/en/papers/bjerva-2014-meaning-factory-formal-semantics-recognizing/)**Johannes Bjerva, Johan Bos, Rob van der Goot et al.*our summary*
115. **[Think Positive: Towards Twitter Sentiment Analysis from Scratch ↗](https://aclanthology.org/S14-2115/)**Cícero dos Santos
116. **[ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics ↗](https://aclanthology.org/S14-2116/)**Ankur Parikh, Avinesh PVS, Joy Mustafi et al.
117. **[Turku: Broad-Coverage Semantic Parsing with Rich Features ↗](https://aclanthology.org/S14-2121/)**Jenna Kanerva, Juhani Luotolahti, Filip Ginter
118. **[UBham: Lexical Resources and Dependency Parsing for Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/S14-2122/)**Viktor Pekar, Naveed Afzal, Bernd Bohnet
119. **[UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT ↗](https://aclanthology.org/S14-2123/)**Eva Hasler
120. **[UIO-Lien: Entailment Recognition using Minimal Recursion Semantics ↗](https://aclanthology.org/S14-2125/)**Elisabeth Lien, Milen Kouylekov
121. **[UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in Twitter Data ↗](https://aclanthology.org/S14-2126/)**Lucie Flekova, Oliver Ferschke, Iryna Gurevych
122. **[ULisboa: Identification and Classification of Medical Concepts ↗](https://aclanthology.org/S14-2127/)**André Leal, Diogo Gonçalves, Bruno Martins et al.
123. **[UMCC_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S14-2129/)**Yenier Castañeda, Armando Collazo, Elvis Crego et al.
124. **[UMCC_DLSI: Sentiment Analysis in Twitter using Polirity Lexicons and Tweet Similarity ↗](https://aclanthology.org/S14-2130/)**Pedro Aniel Sánchez-Mirabal, Yarelis Ruano Torres, Suilen Hernández Alvarado et al.
125. **[UMCC_DLSI_SemSim: Multilingual System for Measuring Semantic Textual Similarity ↗](https://aclanthology.org/S14-2128/)**Alexander Chávez, Héctor Dávila, Yoan Gutiérrez et al.
126. **[UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment ↗](https://aclanthology.org/S14-2131/)**Sergio Jimenez, George Dueñas, Julia Baquero et al.
127. **[UNAL-NLP: Cross-Lingual Phrase Sense Disambiguation with Syntactic Dependency Trees ↗](https://aclanthology.org/S14-2132/)**Emilio Silva-Schlenker, Sergio Jimenez, Julia Baquero
128. **[UNIBA: Combining Distributional Semantic Models and Word Sense Disambiguation for Textual Similarity ↗](https://aclanthology.org/S14-2133/)**Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro
129. **[UNITOR: Aspect Based Sentiment Analysis with Structured Learning ↗](https://aclanthology.org/S14-2135/)**Giuseppe Castellucci, Simone Filice, Danilo Croce et al.
130. **[UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent Sentiment Resource ↗](https://aclanthology.org/S14-2137/)**Reynier Ortega Bueno, Adrian Fonseca Bruzón, Carlos Muñiz Cuza et al.
131. **[USF: Chunking for Aspect-term Identification & Polarity Classification ↗](https://aclanthology.org/S14-2140/)**Cindi Thompson
132. **[UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text ↗](https://aclanthology.org/S14-2142/)**Yaoyun Zhang, Jingqi Wang, Buzhou Tang et al.
133. **[UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations ↗](https://aclanthology.org/S14-2143/)**Suwisa Kaewphan, Kai Hakala, Filip Ginter
134. **[UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic ↗](https://aclanthology.org/S14-2141/)**Islam Beltagy, Stephen Roller, Gemma Boleda et al.
135. **[UW-MRS: Leveraging a Deep Grammar for Robotic Spatial Commands ↗](https://aclanthology.org/S14-2144/)**Woodley Packard
136. **[UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/S14-2145/)**Tomáš Brychcín, Michal Konkol, Josef Steinberger
137. **[UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic Spatial Commands ↗](https://aclanthology.org/S14-2146/)**Rohit Kate
138. **[UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns ↗](https://aclanthology.org/S14-2147/)**Omid Ghiasvand, Rohit Kate
139. **[UniPi: Recognition of Mentions of Disorders in Clinical Text ↗](https://aclanthology.org/S14-2134/)**Giuseppe Attardi, Vittoria Cozza, Daniele Sartiano
140. **[University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval ↗](https://aclanthology.org/S14-2136/)**Richard Townsend, Aaron Kalair, Ojas Kulkarni et al.
141. **[UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity ↗](https://aclanthology.org/S14-2138/)**Miguel Rios
142. **[UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment ↗](https://aclanthology.org/S14-2139/)**Rohit Gupta, Hanna Béchara, Ismail El Maarouf et al.
143. **[V3: Unsupervised Generation of Domain Aspect Terms for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S14-2148/)**Aitor García-Pablos, Montse Cuadros, German Rigau
144. **[XRCE: Hybrid Classification for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/S14-2149/)**Caroline Brun, Diana Nicoleta Popa, Claude Roux
145. **[ezDI: A Hybrid CRF and SVM based Model for Detecting and Encoding Disorder Mentions in Clinical Notes ↗](https://aclanthology.org/S14-2045/)**Parth Pathak, Pinal Patel, Vishal Panchal et al.
146. **[haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE ↗](https://aclanthology.org/S14-2049/)**Lorenzo Ferrone, Fabio Massimo Zanzotto
147. **[iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries ↗](https://aclanthology.org/S14-2059/)**Fritjof Bornebusch, Glaucia Cancino, Melanie Diepenbeck et al.
148. **[tucSage: Grammar Rule Induction for Spoken Dialogue Systems via Probabilistic Candidate Selection ↗](https://aclanthology.org/S14-2119/)**Arodami Chorianopoulou, Georgia Athanasopoulou, Elias Iosif et al.
149. **[ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data ↗](https://aclanthology.org/S14-2124/)**Kateřina Veselovská, Aleš Tamchyna

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