Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs
Code (0)
등록된 구현이 없습니다.
Tasks
Dialogue Act ClassificationSimilar Papers 제목 키워드 기반
Message du troisi{è}me type : irruption d'un tiers dans un dialogue en ligne
Our study focuses on Wikipedia talk pages, from a global perspective analyzing contributors' behaviors in online interactions. Using a corpus comprising all Wikipedia talk pages in French, totaling more than 300,000 disc…
WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia's Articles for Deletion
Content moderation in online platforms is crucial for ensuring activity therein adheres to existing policies, especially as these platforms grow. NLP research in this area has typically focused on automating some part of…
ArticlesSentiment AnalysisSession-level Language Modeling for Conversational Speech
We propose to generalize language models for conversational speech recognition to allow them to operate across utterance boundaries and speaker changes, thereby capturing conversation-level phenomena such as adjacency pa…
Language ModelingLanguage Modellingspeech-recognitionSpeech RecognitionLarge SMT data-sets extracted from Wikipedia
The article presents experiments on mining Wikipedia for extracting SMT useful sentence pairs in three language pairs. Each extracted sentence pair is associated with a cross-lingual lexical similarity score based on whi…
ArticlesDomain AdaptationMachine TranslationSentence+1Speaker Diarization with Lexical Information
This work presents a novel approach for speaker diarization to leverage lexical information provided by automatic speech recognition. We propose a speaker diarization system that can incorporate word-level speaker turn p…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Clusteringspeaker-diarization+3