Word Embedding Vectors

otherentity ID: wordembeddingvectors

Related Papers

Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

This paper presents an approach for estimat- ing the question-question similarity of an En- glish dataset specified in Shared Task 3, sub- task B of SemEval-2016. Given a new ques- …...

22451

CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper describes a system developed for a shared sentiment analysis task and its subtasks organized by SemEval-2017. A key feature of our system is the embedded ability to detect …...

25250

Word Representations Concentrate and This is Good News!

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis article establishes that, unlike the legacy tf*idf representation, recent natural language representations (word embedding vectors) tend to exhibit a so-called concentration of measure phenomenon, in the sense that, as …...

41602