Training Temporal Word Embeddings with a Compass

5 June 2019

Papers citing "Training Temporal Word Embeddings with a Compass"

10 / 10 papers shown

Title
Syntactic Language Change in English and German: Metrics, Parsers, and Convergences Yanran Chen Wei-Ye Zhao Anne Breitbarth Manuel Stoeckel Alexander Mehler Steffen Eger 32 2 0 18 Feb 2024
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter Daniel Loureiro Kiamehr Rezaee Talayeh Riahi Francesco Barbieri Leonardo Neves Luis Espinosa Anke Jose Camacho-Collados AI4TS 34 8 0 04 Aug 2023
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 34 6 0 13 Apr 2023
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis Konstantina Dritsa Kaiti Thoma John Pavlopoulos Panos Louridas AILaw 21 1 0 23 Oct 2022
Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI H. Sánchez Briland Hitaj 27 1 0 06 Oct 2022
Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19 James Powell Kari Sentz 16 0 0 26 Oct 2021
SWEAT: Scoring Polarization of Topics across Different Corpora Federico Bianchi Marco Marelli P. Nicoli M. Palmonari 29 6 0 15 Sep 2021
Opinions are Made to be Changed: Temporally Adaptive Stance Classification Rabab Alkhalifa E. Kochkina A. Zubiaga 19 22 0 27 Aug 2021
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature Abheesht Sharma Gunjan Chhablani Harshit Pandey Rajaswa Patil 17 7 0 02 Jul 2021
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 161 231 0 27 Feb 2017