Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents.Most previous works treat document-grounded dialogue modeling as a machine reading comprehension task based on a single given document or passage.In this work, we aim to address more realistic scenarios where a goaloriented information-seeking conversation involves multiple topics, and hence is grounded on different documents.To facilitate such a task, we introduce a new dataset that contains dialogues grounded in multiple documents from four different domains.We also explore modeling the dialogue-based and documentbased context in the dataset.We present strong baseline approaches and various experimental results, aiming to support further research efforts on such a task. Social Security CreditsYou must earn at least 40 Social Security credits to qualify for social security benefits. Number of Credit Needed for Disability BenefitsTo be eligible for disability benefits, you must meet a recent work test and a duration work test.Number of Credit Needed for Retirement Benefits If you are born after 1928, you will need 40 credits to qualify for retirement benefits.30 years or older -In general, you must have at least 20 credits in the 10-year period immediately before you become disabled.U1: I need help with SSDI.I heard that it could benefit my relatives too.I am in my 50s.A2: Yes SSDI pays benefits to you and

Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

Hui Wan, Song Feng, Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis Lastras. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents.Inspired by how the authors compose documents for guiding end users, we first construct dialogue flows based on the content elements that corresponds to higher-level relations across text sections as well as lower-level relations between discourse units within a section.Then we present these dialogue flows to crowd contributors to create conversational utterances.The dataset includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains.Compared to the prior document-grounded dialogue datasets, this dataset covers a variety of dialogue scenes in information-seeking conversations.For evaluating the versatility of the dataset, we introduce multiple dialogue modeling tasks and present baseline approaches.

Our work involves enriching the Stack-LSTM transition-based AMR parser (Ballesteros and Al-Onaizan, 2017) by augmenting training with Policy Learning and rewarding the Smatch score of sampled graphs.In addition, we also combined several AMR-to-text alignments with an attention mechanism and we supplemented the parser with pre-processed concept identification, named entities and contextualized embeddings.We achieve a highly competitive performance that is comparable to the best published results.We show an indepth study ablating each of the new components of the parser.

The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since several of the technologies underlying rule-based systems are already quite mature, it is important to understand how such systems might perform on the Web scale. OpenRuleBench is a suite of benchmarks for analyzing the performance and scalability of different rule engines. Currently the study spans five different technologies and eleven systems, but OpenRuleBench is an open community resource, and contributions from the community are welcome. In this paper, we describe the tested systems and technologies, the methodology used in testing, and analyze the results.