15 citations · 34 across the 6 of their papers we have counts for
6 papers
Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages
Silvia Severini, Ayyoob Imani, Philipp Dufter +1
Parallel corpora are ideal for extracting a multilingual named entity (MNE) resource, i.e., a dataset of names translated into multiple languages. Prior work on extracting MNE data…
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
Mengjie Zhao, Fei Mi, Yasheng Wang +4
Vast efforts have been devoted to creating high-performance few-shot learners, i.e., large-scale pretrained language models (PLMs) that perform well with little downstream task tra…
Neural Multi-Source Morphological Reinflection
Katharina Kann, Ryan Cotterell, Hinrich Schütze
We explore the task of multi-source morphological reinflection, which generalizes the standard, single-source version. The input consists of (i) a target tag and (ii) multiple pair…
Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities
Yadollah Yaghoobzadeh, Hinrich Schütze
Entities are essential elements of natural language. In this paper, we present methods for learning multi-level representations of entities on three complementary levels: character…
Exploring Different Dimensions of Attention for Uncertainty Detection
Heike Adel, Hinrich Schütze
Neural networks with attention have proven effective for many natural language processing tasks. In this paper, we develop attention mechanisms for uncertainty detection. In partic…
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Wenpeng Yin, Hinrich Schütze
This work studies comparatively two typical sentence matching tasks: textual entailment (TE) and answer selection (AS), observing that weaker phrase alignments are more critical in…