no code implementations • NAACL 2021 • Jose Garrido Ramas, Giorgio Pessot, Abdalghani Abujabal, Martin Rajman
Past work on annotation conflict resolution had assumed that data is collected at once, with a fixed set of annotators and fixed annotation guidelines.
no code implementations • NAACL 2021 • Abdalghani Abujabal, Claudio Delli Bovi, Sungho Ryu, Turan Gojayev, Fabian Triefenbach, Yannick Versley
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.
1 code implementation • 8 Oct 2019 • Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum
Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic.
no code implementations • 9 Aug 2019 • Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Stroetgen, Gerhard Weikum
An important case, addressed here, is that of temporal questions, where cues for temporal relations need to be discovered and handled.
no code implementations • 1 Aug 2019 • Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang, Gerhard Weikum
Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA.
no code implementations • NAACL 2019 • Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum
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.
no code implementations • 22 Aug 2018 • 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.
no code implementations • IJCNLP 2017 • David Ziegler, Abdalghani Abujabal, Rishiraj Saha Roy, Gerhard Weikum
This paper investigates the problem of answering compositional factoid questions over knowledge bases (KB) under efficiency constraints.
no code implementations • EMNLP 2017 • Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum
We present QUINT, a live system for question answering over knowledge bases.