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07/02/2021
Data Centric Domain Adaptation for Historical Text with OCR Errors
We propose new methods for in-domain and cross-domain Named Entity Recog...
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04/07/2020
Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition
Domain adaptation of Pretrained Language Models (PTLMs) is typically ach...
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11/09/2019
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
We address the task of unsupervised Semantic Textual Similarity (STS) by...
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11/09/2019
BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA
The BERT language model (LM) (Devlin et al., 2019) is surprisingly good ...
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06/26/2019
Interpretable Question Answering on Knowledge Bases and Text
Interpretability of machine learning (ML) models becomes more relevant w...
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10/31/2018
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective
Count-based word alignment methods, such as the IBM models or fast-align...
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09/19/2018
Interpretable Textual Neuron Representations for NLP
Input optimization methods, such as Google Deep Dream, create interpreta...
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03/05/2018
Neural Architectures for Open-Type Relation Argument Extraction
In this work, we introduce the task of Open-Type Relation Argument Extra...
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01/19/2018