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Found 10 papers, 1 papers with code
Identifying and Resolving Annotation Changes for Natural Language Understanding
Past work on annotation conflict resolution had assumed that data is collected at once, with a fixed set of annotators and fixed annotation guidelines.
Continuous Model Improvement for Language Understanding with Machine Translation
Scaling conversational personal assistants to a multitude of languages puts high demands on collecting and labelling data, a setting in which cross-lingual learning techniques can help to reconcile the need for well-performing Natural Language Understanding (NLU) with a desideratum to support many languages without incurring unacceptable cost.
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic.
TEQUILA: Temporal Question Answering over Knowledge Bases
An important case, addressed here, is that of temporal questions, where cues for temporal relations need to be discovered and handled.
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA.
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
To bridge the gap between the capabilities of the state-of-the-art in factoid question answering (QA) and what users ask, we need large datasets of real user questions that capture the various question phenomena users are interested in, and the diverse ways in which these questions are formulated.
Neural Named Entity Recognition from Subword Units
Named entity recognition (NER) is a vital task in spoken language understanding, which aims to identify mentions of named entities in text e. g., from transcribed speech.
Efficiency-aware Answering of Compositional Questions using Answer Type Prediction
This paper investigates the problem of answering compositional factoid questions over knowledge bases (KB) under efficiency constraints.
QUINT: Interpretable Question Answering over Knowledge Bases
We present QUINT, a live system for question answering over knowledge bases.
