How to approach ambiguous queries in conversational search: A survey of techniques, approaches, tools, and challenges

K Keyvan, JX Huang - ACM Computing Surveys, 2022 - dl.acm.org
The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

A review on question generation from natural language text

R Zhang, J Guo, L Chen, Y Fan, X Cheng - ACM Transactions on …, 2021 - dl.acm.org
Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Building and evaluating open-domain dialogue corpora with clarifying questions

M Aliannejadi, J Kiseleva, A Chuklin, J Dalton… - arxiv preprint arxiv …, 2021 - arxiv.org
Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an
important direction for improving the quality of the system response. Namely, for cases when …

Godel: Large-scale pre-training for goal-directed dialog

B Peng, M Galley, P He, C Brockett, L Liden… - arxiv preprint arxiv …, 2022 - arxiv.org
We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-trained
language model for dialog. In contrast with earlier models such as DialoGPT, GODEL …

Don't blame the annotator: Bias already starts in the annotation instructions

M Parmar, S Mishra, M Geva, C Baral - arxiv preprint arxiv:2205.00415, 2022 - arxiv.org
In recent years, progress in NLU has been driven by benchmarks. These benchmarks are
typically collected by crowdsourcing, where annotators write examples based on annotation …

User simulation for evaluating information access systems

K Balog, CX Zhai - Proceedings of the Annual International ACM SIGIR …, 2023 - dl.acm.org
With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …

[SÁCH][B] Neural approaches to conversational information retrieval

J Gao, C **ong, P Bennett, N Craswell - 2023 - Springer
A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

Grounding'grounding'in NLP

KR Chandu, Y Bisk, AW Black - arxiv preprint arxiv:2106.02192, 2021 - arxiv.org
The NLP community has seen substantial recent interest in grounding to facilitate interaction
between language technologies and the world. However, as a community, we use the term …

Analysing utterances in llm-based user simulation for conversational search

I Sekulić, M Alinannejadi, F Crestani - ACM Transactions on Intelligent …, 2024 - dl.acm.org
Clarifying underlying user information needs by asking clarifying questions is an important
feature of modern conversational search systems. However, evaluation of such systems …

Clam: Selective clarification for ambiguous questions with generative language models

L Kuhn, Y Gal, S Farquhar - arxiv preprint arxiv:2212.07769, 2022 - arxiv.org
Users often ask dialogue systems ambiguous questions that require clarification. We show
that current language models rarely ask users to clarify ambiguous questions and instead …