Help! Need Advice on Identifying Advice
30216Authors
nan
Abstract
AbstractHumans use language to accomplish a wide variety of tasks - asking for and giving advice being one of them. In online advice forums, advice is mixed in with non-advice, like emotional support, and is sometimes stated explicitly, sometimes implicitly. Understanding the language of advice would equip systems with a better grasp of language pragmatics; practically, the ability to identify advice would drastically increase the efficiency of advice-seeking online, as well as advice-giving in natural language generation systems. We present a dataset in English from two Reddit advice forums - r/AskParents and r/needadvice - annotated for whether sentences in posts contain advice or not. Our analysis reveals rich linguistic phenomena in advice discourse. We present preliminary models showing that while pre-trained language models are able to capture advice better than rule-based systems, advice identification is challenging, and we identify directions for future research.
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, pages 5295–5306, November 16–20, 2020. c⃝2020 Association for Computational Linguistics 5295 Help! Need Advice on Identifying Advice Venkata S Govindarajan1 Benjamin T Chen2∗ Rebecca Warholic3† Katrin Erk1 Junyi Jessy Li1 1 Department of Linguistics, The University of Texas at Austin 2 Amazon Inc. 3 McGill University {venkatasg,btchen}@utexas.edu, rebecca.warholic@mail.mcgill.ca, katrin.erk@utexas.edu, jessy@austin.utexas.edu Abstract Humans use language to accomplish a wide variety of tasks – asking for and giving ad- vice being one of them. In online advice fo- rums, advice is mixed in with non-advice, like emotional support, and is sometimes stated ex- plicitly, sometimes implicitly. Understanding the language of advice would equip systems with a better grasp of language pragmatics; practically, the ability to identify advice would drastically increase the efficiency of advice- seeking online, as well as advice-giving in nat- ural language generation systems. We present a dataset in English from two Reddit advice forums – r/AskParents and r/needadvice – annotated for whether sen- tences in posts contain advice or not. Our anal- ysis reveals rich linguistic phenomena in ad- vice discourse. We present preliminary models showing that while pre-trained language mod- els are able to capture advice better than rule- based systems, advice identification is chal- lenging, and we identify directions for future research. 1 Introduction Humans use language in the real world to achieve many goals – communicate intents and desires, to argue and convince, and to ask for and give advice. In recent years, people have increasingly looked to the internet to find advice; advice forums like BabyCenter and r/needadvice have hundreds of thousands of members; studies also showed that people increasingly seek health advice online (Fox and Duggan, 2013; Chen et al., 2018). However, finding the right solution to a problem is difficult, since advice may be spread over multiple posts and pages online. Even within the same post, not * Work done as an undergraduate student at UT Austin. † Work done at UT Austin while on the DREU undergraduate research program. all sentences contain relevant advice, like in the following (truncated) reply to a question titled Is it too late to start a hobby/activity at 12?: (1) ..you can always pick anything up you think is interesting and giving it a shot. You never know what you are good at until you try new things! Idk if you have a budget or maybe borrow tools but you can try woodworking? It’s fun and frustrating (in a good way) at the same time Only the italicised sentences are advice to the ques- tion asked. Both sentences that follow the ad- vice sentences lend support to the advice, rather than containing advice towards a course of action themselves. People also give advice in different ways (Abolfathiasl and Abdullah, 2013), often im- plicitly like in the following reply to a question ti- tled Parenting with a history of depression?, where advice is implicitly conveyed via personal experi- ence: (2) I took my meds the whole …
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Labeled Text
AbstractHumans use language to accomplish a wide variety of tasks - asking for and giving advice being one of them. In online advice forums, advice is mixed in with non-advice, like emotional support, and is sometimes stated explicitly, sometimes implicitly. Understanding the language of advice would equip systems with a better grasp of language pragmatics; practically, the ability to identify advice would drastically increase the efficiency of advice-seeking online, as well as advice-giving in natural language generation systems. We present a dataset in English from two Reddit advice forums - r/AskParents and r/needadvice - annotated for whether sentences in posts contain advice or not. Our analysis reveals rich linguistic phenomena in advice discourse. We present preliminary models showing that while pre-trained language models are able to capture advice better than rule-based systems, advice identification is challenging, and we identify directions for future research.
Publication Details
- Paper ID:
- 30216
- Year:
- 2020
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan