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Found 13 papers, 5 papers with code
Examining the Potential for Conversational Exploratory Search using a Smart Speaker Digital Assistant
Online Digital Assistants, such as Amazon Alexa, Google Assistant, Apple Siri are very popular and provide a range or services to their users, a key function is their ability to satisfy user information needs from the sources available to them.
Achieving Reliable Human Assessment of Open-Domain Dialogue Systems
Answering the distress call of competitions that have emphasized the urgent need for better evaluation techniques in dialogue, we present the successful development of human evaluation that is highly reliable while still remaining feasible and low cost.
Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods
To facilitate effective translation modeling and translation studies, one of the crucial questions to address is how to assess translation quality.
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains
In total, 29 teams from various research organizations worldwide completed one or more of the following six tasks: 1.
Chinese Character Decomposition for Neural MT with Multi-Word Expressions
To investigate the impact of Chinese decomposition embedding in detail, i. e., radical, stroke, and intermediate levels, and how well these decompositions represent the meaning of the original character sequences, we carry out analysis with both automated and human evaluation of MT.
Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search
Conversational search presents opportunities to support users in their search activities to improve the effectiveness and efficiency of search while reducing their cognitive load.
A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces
We propose a CS evaluation framework which includes multiple dimensions: search experience, knowledge gain, software usability, cognitive load and user experience, based on studies of conversational systems and IR.
TREC 2020 Podcasts Track Overview
The Podcast Track is new at the Text Retrieval Conference (TREC) in 2020.
Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
An automated contextual suggestion algorithm is likely to recommend contextually appropriate and personalized 'points-of-interest' (POIs) to a user, if it can extract information from the user's preference history (exploitation) and effectively blend it with the user's current contextual information (exploration) to predict a POI's 'appropriateness' in the current context.
Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Recently the Chinese video sharing platform Bilibili, has popularised a novel captioning system where user comments are displayed as streams of moving subtitles overlaid on the video playback screen and broadcast to all viewers in real-time.
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora
The only bilingual MWE corpora that we are aware of is from the PARSEME (PARSing and Multi-word Expressions) EU Project.
Creating a Data Collection for Evaluating Rich Speech Retrieval
We describe the development of a test collection for the investigation of speech retrieval beyond identification of relevant content.
