266 citations · 1.8k across the 115 of their papers we have counts for
28 papers · 1 filter
Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings
Andreas Hanselowski, Iryna Gurevych
Word embeddings are rich word representations, which in combination with deep neural networks, lead to large performance gains for many NLP tasks. However, word embeddings are repr…
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology
Gözde Gül Şahin, Iryna Gurevych
Most problems in natural language processing can be approximated as inverse problems such as analysis and generation at variety of levels from morphological (e.g., cat+Plural <-> c…
Scalable Bayesian Preference Learning for Crowds
Edwin Simpson, Iryna Gurevych
We propose a scalable Bayesian preference learning method for jointly predicting the preferences of individuals as well as the consensus of a crowd from pairwise labels. Peoples' o…
When is ACL's Deadline? A Scientific Conversational Agent
Mohsen Mesgar, Paul Youssef, Lin Li +4
Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference vis…
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation
Edwin Simpson, Yang Gao, Iryna Gurevych
For many NLP applications, such as question answering and summarisation, the goal is to select the best solution from a large space of candidates to meet a particular user's needs.…
Neural Duplicate Question Detection without Labeled Training Data
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych
Supervised training of neural models to duplicate question detection in community Question Answering (cQA) requires large amounts of labeled question pairs, which are costly to obt…