Resources & Methods

Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese ACML 2017 Reformulating Queries: Theory and Practice IJCAI 2017 Representations of language in a model of visually grounded speech signal ACL 2017 ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity SemEval 2017 Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings ACL 2017 Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity SemEval 2017 RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh’s-like list SemEval 2017 SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations EMNLP 2017 Segmentation-Free Word Embedding for Unsegmented Languages EMNLP 2017 Selective Decoding for Cross-lingual Open Information Extraction IJCNLP 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification IJCNLP 2017 Semantic Visualization for Short Texts with Word Embeddings IJCAI 2017 SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation SemEval 2017 SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity SemEval 2017 SemEval-2017 Task 7: Detection and Interpretation of English Puns SemEval 2017 Sequence Effects in Crowdsourced Annotations EMNLP 2017 Skip-Gram − Zipf + Uniform = Vector Additivity ACL 2017 SMARTies: Sentiment Models for Arabic Target entities EACL 2017 Socialized Word Embeddings IJCAI 2017 Structured Embedding Models for Grouped Data NeurIPS 2017 Supervised Learning of Universal Sentence Representations from Natural Language Inference Data EMNLP 2017 SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation EMNLP 2017 Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants EMNLP 2017