Conversational Exploratory Search via Interactive Storytelling

Conversational interfaces are likely to become more efficient, intuitive and engaging way for human-computer interaction than today's text or touch-based interfaces. Current research efforts concerning conversational interfaces focus primarily on question answering functionality, thereby neglecting support for search activities beyond targeted information lookup. Users engage in exploratory search when they are unfamiliar with the domain of their goal, unsure about the ways to achieve their goals, or unsure about their goals in the first place. Exploratory search is often supported by approaches from information visualization. However, such approaches cannot be directly translated to the setting of conversational search. In this paper we investigate the affordances of interactive storytelling as a tool to enable exploratory search within the framework of a conversational interface. Interactive storytelling provides a way to navigate a document collection in the pace and order a user prefers. In our vision, interactive storytelling is to be coupled with a dialogue-based system that provides verbal explanations and responsive design. We discuss challenges and sketch the research agenda required to put this vision into life.Comment: Accepted at ICTIR'17 Workshop on Search-Oriented Conversational AI (SCAI 2017

Open-Retrieval Conversational Question Answering

Conversational search is one of the ultimate goals of information retrieval. Recent research approaches conversational search by simplified settings of response ranking and conversational question answering, where an answer is either selected from a given candidate set or extracted from a given passage. These simplifications neglect the fundamental role of retrieval in conversational search. To address this limitation, we introduce an open-retrieval conversational question answering (ORConvQA) setting, where we learn to retrieve evidence from a large collection before extracting answers, as a further step towards building functional conversational search systems. We create a dataset, OR-QuAC, to facilitate research on ORConvQA. We build an end-to-end system for ORConvQA, featuring a retriever, a reranker, and a reader that are all based on Transformers. Our extensive experiments on OR-QuAC demonstrate that a learnable retriever is crucial for ORConvQA. We further show that our system can make a substantial improvement when we enable history modeling in all system components. Moreover, we show that the reranker component contributes to the model performance by providing a regularization effect. Finally, further in-depth analyses are performed to provide new insights into ORConvQA.Comment: Accepted to SIGIR'2

Third Person References: Forms and Functions in Two Spoken Genres of Spanish

This volume, a case study on the grammar of third person references in two genres of spoken Ecuadorian Spanish, examines from a discourse-analytic perspective how genre affects linguistic patterns and how researchers can look for and interpret genre effects. This marks a timely contribution to corpus linguistics, as many linguists are choosing to work with empirical data. Corpus based approaches have many advantages and are useful in the comparison of different languages as well as varieties of the same language, but what is often overlooked in such comparisons is the genre of language under examination. As this case study shows, genre is an important factor in interpreting patterns and distributions of forms. The book also contributes toward theories of anaphora, referentiality and Preferred Argument Structure. It is relevant for scholars who work with referentiality, genre differences, third person references, and interactional linguistics, as well as those interested in Spanish morphosyntax. [From the Publisher]https://cupola.gettysburg.edu/books/1096/thumbnail.jp

Responding to gratitude in elicited oral interaction. A taxonomy of communicative options

This study explores responses to gratitude as expressed in elicited oral interaction (mimetic-pretending open role-plays) produced by native speakers of American English. It first overviews the literature on this topic. It then presents a taxonomy of the head acts and supporting moves of the responses to gratitude instantiated in the corpus under examination, which considers their strategies and formulations. Finally, it reports on their frequency of occurrence and combinatorial options across communicative situations differing in terms of the social distance and power relationships between the interactants. The findings partly confirm what reported in the literature, but partly reveal the flexibility and adaptability of these reacting speech acts to the variable context in which they may be instantiated. On the one hand, the responses to gratitude identified tend to be encoded as simple utterances, and occasionally as complex combinations of head acts and/or supporting moves; also, their head acts show a preference for a small set of strategies and formulation types, while their supporting moves are much more varied in content and form, and thus situation-specific. On the other hand, the frequency of occurrence of the responses to gratitude, their dispersion across situations, and the range of their attested strategies and formulations are not in line with those reported in previous studies. I argue that these partly divergent findings are to be related to the different data collection and categorization procedures adopted, and the different communicative situations considered across studies. Overall, the study suggests that: responses to gratitude are a set of communicative events with fuzzy boundaries, which contains core (i.e. more prototypical) and peripheral (i.e. less prototypical) exemplars; although routinized in function, responses to gratitude are not completely conventionalized in their strategic or surface realizations; alternative research approaches may provide complementary insights into these reacting speech acts; and a higher degree of comparability across studies may be ensured if explicit pragmatic and semantic parameters are adopted in the classification of their shared object of study