This presentation discusses our proposed approach, Docalog, for the DialDoc-22 (Multi-Doc2Dial) shared task. Docalog identifies themost relevant knowledge in the associated document, in a multi-document setting. Docalog, is a three-stage pipeline consisting of (1) a document retriever model (DR. TEIT), (2) an answer span prediction model, and (3) an ultimate span picker deciding on the most likely answer span, out of all predicted spans. In the test phase of MultiDoc2Dial 2022, Docalog achieved f1-scores of 36.07% and 28.44% and SacreBLEU scores of 23.70% and 20.52%, respectively on the MDD-SEEN and MDD-UNSEEN folds.

Docalog: Multi-document Dialogue System using Transformer-based Span Retrieval

**Organizers:** Song Feng, Chengguang Tang, Svitlana Vakulenko, Hui Wan, Zeqiu (Ellen) Wu, Caixia Yuan **Description:** DialDoc Workshop focuses on document-grounded dialogue and conversational question answering. There is a vast
amount of document content created every day by human writers to communicate with human readers for sharing knowledge, ranging from encyclopedias to social benefits. Making the document content accessible to users via conversational
systems and scaling it to various domains could be a meaningful yet challenging task. There are significant individual research threads that show promise in handling heterogeous knowledge embedded in documents for building conversational
systems, including (1) unstructured content, such as text passages; (2) semi-structured content, such as tables or lists; (3)
multi-modal content, such as images and videos along with text descriptions, and so on. The purpose of this workshop is
to invite researchers and practitioners to bring their individual perspectives on the subject of document-grounded dialogue
and conversational question answering to advance the field in a joint effort. 
**Please visit our [website](https://doc2dial.github.io/workshop2022/)**

(DialDoc)        2nd DialDoc workshop on Document-grounded Dialogue and Conversational Question Answering

workshop paper

# Welcome everyone to ACL 2022!

The 60th Annual Meeting of the Association for Computational Linguistics is taking place May 22-27, 2022 as a hybrid event, in Dublin and online. We are happy to welcome all of you to this anniversary edition with an almost 50-50 in-person and virtual participation. 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, three amazing keynote events and two new initiatives of invited talks: Spotlight Talks for Young Rising Stars (STIRS) and The Next Big Idea Talks. Posters (including Findings of ACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop will have an oral session and a poster session as part of Poster Session 1. The program also features eight Tutorials and 28 Workshops. 

 
We wish you a wonderful conference! 
[**The ACL 2022 Organizing Committee**](https://www.2022.aclweb.org/organisers)
 
[**Conference Handbook**](https://drive.google.com/file/d/1_BUCMfhMVrjG9E2e71aHdHeE28KSje0l/view?usp=sharing) 
[**Mini Handbook**](https://drive.google.com/file/d/1qlBKl0wzmlVF1oCeMQl3BahLd9nLP5Ce/view?usp=sharing) 
[**Posters and Demo guides**](https://drive.google.com/file/d/1UucMAoCNncIOaH1rMMDa0owuG9qgvJTG/view?usp=sharing)

ACL 2022

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

Sadra Sabouri

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Docalog: Multi-document Dialogue System using Transformer-based Span Retrieval

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