55 citations · 55 across the 1 of their papers we have counts for
5 papers
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal +2
Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic. In such a conversational setting, the user's inputs are often incomp…
TEQUILA: Temporal Question Answering over Knowledge Bases
Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy +2
Question answering over knowledge bases (KB-QA) poses challenges in handling complex questions that need to be decomposed into sub-questions. An important case, addressed here, is…
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy +3
Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA. This problem is most pronounced when answers can be found only by joini…
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya +1
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…
Neural Named Entity Recognition from Subword Units
Abdalghani Abujabal, Judith Gaspers
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. Existing n…