Timeline for How can I keep context in my chatbot
Current License: CC BY-SA 4.0
7 events
when toggle format | what | by | license | comment | |
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Jul 26, 2019 at 10:28 | answer | added | ashenoy | timeline score: 1 | |
Jul 25, 2019 at 20:56 | comment | added | Neil Slater | It may also help if you explain your longer-term goal. Is your chatbot intended for some specific use? Or is the main purpose in building it to teach yourself topics in Natural Language Processing and AI? If the former, you may want to fall back on more robust simple methods than neural networks. If the latter, it may not be too important to you if the bot has flaws provided it exhibits some interesting behaviour such as assigning pronouns correctly between different exchanges at least some of the time | |
Jul 25, 2019 at 20:49 | comment | added | Neil Slater | There's lots of ways to make chatbots. You could ask about comparison between a couple of methods (but please don't ask for some full guide or review, it's too much for a question here). Or your current question is OK in my opinion, if you use edit to add some details from your comment, so that people have some clue to what you've got compared to where you want to go next. I'm not a chatbot expert, but I think you are in the right place to ask such a question. I just think it would help you get the best answer if you say a little more about your current model. | |
Jul 25, 2019 at 16:57 | comment | added | Mithun Sarker Shuvro | Yes u are right , I am using seq2seq . Is there any alternative which can solve my problem ? | |
Jul 25, 2019 at 14:49 | comment | added | Neil Slater | Could you add a little more context about your current model? I would guess it is a seq2seq model that "translates" a phrase input by user into a reply phrase. The behaviour you notice is definitely a limitation of using seq2seq like that. | |
Jul 25, 2019 at 11:05 | review | First posts | |||
Jul 25, 2019 at 20:23 | |||||
Jul 25, 2019 at 11:01 | history | asked | Mithun Sarker Shuvro | CC BY-SA 4.0 |