semantic analysis

Detecting negation scope is easy, except when it isn’t EACL 2017 Distinguishing Japanese Non-standard Usages from Standard Ones EMNLP 2017 Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic IJCNLP 2017 Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering EMNLP 2017 Identifying Semantic Edit Intentions from Revisions in Wikipedia EMNLP 2017 If No Media Were Allowed inside the Venue, Was Anybody Allowed? EACL 2017 Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework IJCNLP 2017 Instances and concepts in distributional space EACL 2017 InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas EACL 2017 KnowYourNyms? A Game of Semantic Relationships EMNLP 2017 LangPro: Natural Language Theorem Prover EMNLP 2017 Learning to Explain Non-Standard English Words and Phrases IJCNLP 2017 Literal or idiomatic? Identifying the reading of single occurrences of German multiword expressions using word embeddings EACL 2017 Minimum Semantic Error Cost Training of Deep Long Short-Term Memory Networks for Topic Spotting on Conversational Speech Interspeech 2017 Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences EMNLP 2017 MORSE: Semantic-ally Drive-n MORpheme SEgment-er ACL 2017 Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017 Semantic Word Clusters Using Signed Spectral Clustering ACL 2017 SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications SemEval 2017 ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing EACL 2017 Split and Rephrase EMNLP 2017 Story Comprehension for Predicting What Happens Next EMNLP 2017 The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts EACL 2017 Topic-Based Agreement and Disagreement in US Electoral Manifestos EMNLP 2017 Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter SemEval 2017